Graphify-Labs/graphify
Graphify turns any codebase, including documentation and other files, into a queryable knowledge graph using local AST parsing, without relying on vector stores or embeddings.
Awesome AI Agents › Knowledge Graph Orchestration
plexe-ai/plexe
Plexe is an innovative machine learning framework that allows users to build machine learning models using natural language prompts. Instead of writing complex code, users can describe their desired model in plain English, specifying the intent, input schema, and output schema. The system then uses an AI-powered multi-agent architecture to analyze the requirements, plan the model, generate and improve the code, test and evaluate the model's performance, and package it for deployment. This approach significantly simplifies the model creation process, making it accessible to users who may not have deep expertise in machine learning or programming. Plexe supports distributed training and evaluation using Ray, enabling faster parallel processing by distributing workloads across multiple CPU cores or nodes. It also offers features like synthetic data generation and automatic schema inference, which help users prepare datasets and define model inputs and outputs more efficiently. The framework supports multiple large language model (LLM) providers, including OpenAI, Anthropic, and Google, allowing users to choose their preferred backend for model building. The project is available as a Python library and can be installed with different dependency options, including lightweight and full deep learning support. It also offers a managed cloud service for users who prefer a hosted solution. Plexe is designed to be extensible and user-friendly, with comprehensive documentation and community support through Discord. The roadmap includes plans for supporting non-tabular data types and enhancing the platform's capabilities. Overall, Plexe represents a novel approach to machine learning model development by leveraging natural language and AI agents to automate and streamline the entire process from model definition to deployment.
https://github.com/plexe-ai/plexe
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